Abstract Users of Web search engines are often forced to sift through the long ordered list of document “snippets ” returned by the engines. The IR community has explored document clustering as an alternative method of organizing retrieval results, but clustering has yet to be deployed on the major

Conventional document retrieval systems (e.g., Alta Vista) return long lists of ranked documents in response to user queries. Recently, document clustering has been put forth as an alternative method of organizing retrieval results (Cutting et al. 1992). A person browsing the clusters can discover

mechanisms open a wide class vulnerabilities, ranging from denial of service to content masquerading. In this paper we present an architecture that combines data content, replication strategies and security in one unified object model and offers integrity guarantees for Web documents replicated on non secure

. The authors advocate a different approach to tackling scaling problems. Instead of seeking a general-purpose solution, they argue that it makes more sense to look at each Web document separately. For each document, three issues need to be addressed: placement of replicas, required coherence, and best

improve the performance of main-memory caching of Web documents.

We consider the problem of combining ranking results from various sources. In the context of the Web, the main applications include building meta-search engines, combining ranking functions, selecting documents based on multiple criteria, and improving search precision through word associations

�Considered as the “fundamental ” one �Used for many purposes – indexing, classification, information extraction, … � Visual information �Very important for some kinds of documents �Some proposals in last few yearsRole of visual information � Especially important in web documents � Adds a

Abstract. A very common issue of adaptive Web-Based systems is the modeling of documents. Such documents represent domain-specific information for a num-ber of purposes. Application areas such as Information Search, Focused Crawl-ing and Content Adaptation (among many others) benefit from several

We are currently developing an approach to introduce heuristics based on facts and phenomena from cognitive science in the design of automatic Web document classifiers. The analysis of the results of the study has revealed new and emergent cognitive phenomena of users interacting with present

World-Wide Web proxy servers that cache documents can potentially reduce three quantities: the number of requests that reach popular servers, the volume of network traffic resulting from document requests, and the latency that an end-user experiences in retrieving a document. This paper examines